This notebook contains a set of analyses for analyzing brewdinar’s boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine predictive models trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
brewdinar | training | published before 2020 | 761 | 90 |
brewdinar | validation | published 2020 | 33 | 0 |
brewdinar | test | published after 2020 | 14 | 0 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features. This amounts to looking at historical data and looking to find patterns that exist between features of games and games present in the user’s collection.
One of the models we trained was a decision tree, which looks for decision rules that can be used to separate games the user owns from games they don’t. The resulting model produces a decision corresponding to yes or no statements: to explain why the model predicts the user to own game, we start at the top of the tree and follow the rules that were learned from the training data.
Note: the tree below has been further pruned to make it easier to visualize.
Decision trees are highly interpretible models that are easy to train and can identify important interactions and nonlinearities present in the data. Individual trees have the drawback of being less predictive than other common models, but it can be useful to look at them to gain some understanding of key predictors and relationships found in the training data.
We can examine coefficients from another model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | User_Collection | All_Games | Ratio |
brewdinar | Space Cowboys | 1.6% | 0.2% | 10.36 |
brewdinar | Fantasy Flight Games | 6.8% | 1.0% | 7.04 |
brewdinar | Artist Klemens Franz | 3.4% | 0.5% | 6.64 |
brewdinar | ZMan Games | 7.8% | 1.2% | 6.37 |
brewdinar | Eaglegryphon Games | 3.9% | 0.7% | 6.06 |
brewdinar | Alderac Entertainment Group | 3.8% | 0.6% | 6.00 |
brewdinar | Pegasus Spiele | 10.6% | 1.9% | 5.62 |
brewdinar | Asmodee | 12.2% | 2.3% | 5.42 |
brewdinar | Deck Bag And Pool Building | 14.5% | 2.8% | 5.13 |
brewdinar | Games With Solitaire Rules | 20.4% | 4.7% | 4.35 |
brewdinar | Queen Games | 2.1% | 0.7% | 3.11 |
brewdinar | Fighting | 18.8% | 7.1% | 2.66 |
brewdinar | Hand Management | 41.7% | 19.4% | 2.15 |
brewdinar | Ravensburger | 3.5% | 2.4% | 1.46 |
brewdinar | Wargame | 7.8% | 19.1% | 0.41 |
brewdinar | Pattern Building | 1.3% | 3.8% | 0.35 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
Displaying the 100 games from the training set with the highest probability of ownership, highlighting in blue games the user has owned.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2019 | 286096 | Tapestry | 0.975 | yes |
2 | 2019 | 281946 | Aftermath | 0.965 | no |
3 | 2015 | 175878 | 504 | 0.961 | yes |
4 | 2016 | 205637 | Arkham Horror: The Card Game | 0.958 | yes |
5 | 2017 | 174430 | Gloomhaven | 0.946 | yes |
6 | 2016 | 169786 | Scythe | 0.944 | yes |
7 | 2014 | 148228 | Splendor | 0.936 | yes |
8 | 2017 | 220308 | Gaia Project | 0.924 | no |
9 | 2011 | 96848 | Mage Knight Board Game | 0.923 | yes |
10 | 2017 | 233078 | Twilight Imperium: Fourth Edition | 0.915 | yes |
11 | 2008 | 35677 | Le Havre | 0.906 | yes |
12 | 2013 | 143693 | Glass Road | 0.904 | yes |
13 | 2013 | 133528 | City of Remnants | 0.901 | yes |
14 | 2010 | 70512 | Luna | 0.897 | yes |
15 | 2002 | 4098 | Age of Steam | 0.886 | no |
16 | 2007 | 31260 | Agricola | 0.878 | yes |
17 | 2009 | 39683 | At the Gates of Loyang | 0.875 | yes |
18 | 2011 | 95064 | Ascension: Return of the Fallen | 0.862 | yes |
19 | 2011 | 108784 | Ascension: Storm of Souls | 0.862 | yes |
20 | 2016 | 187645 | Star Wars: Rebellion | 0.848 | yes |
21 | 2006 | 25613 | Through the Ages: A Story of Civilization | 0.847 | no |
22 | 2018 | 256643 | Neon Gods | 0.833 | no |
23 | 2016 | 176083 | Hit Z Road | 0.832 | no |
24 | 2012 | 120677 | Terra Mystica | 0.825 | yes |
25 | 2010 | 66505 | The Speicherstadt | 0.819 | yes |
26 | 2010 | 73171 | Earth Reborn | 0.811 | yes |
27 | 2018 | 257321 | Gen7: A Crossroads Game | 0.811 | no |
28 | 2014 | 159508 | AquaSphere | 0.807 | yes |
29 | 2019 | 270971 | Era: Medieval Age | 0.806 | no |
30 | 2016 | 167791 | Terraforming Mars | 0.803 | yes |
31 | 2011 | 70149 | Ora et Labora | 0.800 | yes |
32 | 1997 | 42 | Tigris & Euphrates | 0.791 | yes |
33 | 2010 | 25292 | Merchants & Marauders | 0.789 | no |
34 | 2018 | 205896 | Rising Sun | 0.787 | no |
35 | 2013 | 144344 | Rococo | 0.785 | no |
36 | 2011 | 85897 | Thunderstone: Dragonspire | 0.784 | yes |
37 | 2017 | 221107 | Pandemic Legacy: Season 2 | 0.780 | yes |
38 | 2019 | 285984 | Last Bastion | 0.770 | no |
39 | 2009 | 53953 | Thunderstone | 0.769 | yes |
40 | 2009 | 43868 | The Adventurers: The Temple of Chac | 0.768 | yes |
41 | 2012 | 121921 | Robinson Crusoe: Adventures on the Cursed Island | 0.767 | yes |
42 | 2018 | 245928 | Pax Emancipation | 0.767 | yes |
43 | 2016 | 200680 | Agricola (Revised Edition) | 0.762 | no |
44 | 2007 | 28720 | Brass: Lancashire | 0.762 | yes |
45 | 2010 | 73439 | Troyes | 0.754 | yes |
46 | 2016 | 191189 | Aeon's End | 0.752 | yes |
47 | 2012 | 116998 | Thunderstone Advance: Towers of Ruin | 0.751 | yes |
48 | 2012 | 122294 | Ascension: Immortal Heroes | 0.748 | yes |
49 | 2009 | 45134 | Arcana | 0.748 | no |
50 | 2013 | 142961 | Thunderstone Advance: Numenera | 0.745 | yes |
51 | 2017 | 188920 | This War of Mine: The Board Game | 0.743 | no |
52 | 2008 | 37380 | Roll Through the Ages: The Bronze Age | 0.740 | no |
53 | 2019 | 269385 | The Lord of the Rings: Journeys in Middle-Earth | 0.739 | no |
54 | 2006 | 21241 | Neuroshima Hex! 3.0 | 0.733 | no |
55 | 2018 | 199792 | Everdell | 0.729 | no |
56 | 2018 | 244711 | Newton | 0.728 | yes |
57 | 2010 | 65200 | Asteroyds | 0.725 | no |
58 | 2017 | 162886 | Spirit Island | 0.718 | yes |
59 | 2015 | 182028 | Through the Ages: A New Story of Civilization | 0.715 | yes |
60 | 2004 | 11170 | Heroscape Master Set: Rise of the Valkyrie | 0.713 | yes |
61 | 2014 | 159675 | Fields of Arle | 0.710 | yes |
62 | 2016 | 177736 | A Feast for Odin | 0.694 | yes |
63 | 2012 | 124708 | Mice and Mystics | 0.689 | yes |
64 | 2019 | 276025 | Maracaibo | 0.678 | yes |
65 | 2007 | 22827 | StarCraft: The Board Game | 0.677 | yes |
66 | 2012 | 104162 | Descent: Journeys in the Dark (Second Edition) | 0.672 | yes |
67 | 2018 | 247763 | Underwater Cities | 0.671 | yes |
68 | 2016 | 193739 | Jórvík | 0.670 | no |
69 | 2018 | 244049 | Forum Trajanum | 0.670 | no |
70 | 2013 | 140620 | Lewis & Clark: The Expedition | 0.662 | yes |
71 | 2018 | 260428 | Pandemic: Fall of Rome | 0.659 | no |
72 | 2019 | 235555 | Bios: Origins (Second Edition) | 0.656 | yes |
73 | 2019 | 265736 | Tiny Towns | 0.654 | no |
74 | 2012 | 124742 | Android: Netrunner | 0.653 | yes |
75 | 2015 | 172386 | Mombasa | 0.651 | yes |
76 | 2017 | 192135 | Too Many Bones | 0.646 | yes |
77 | 2005 | 16496 | Roma | 0.645 | no |
78 | 2002 | 8095 | Prophecy | 0.644 | no |
79 | 2013 | 138233 | Ascension: Rise of Vigil | 0.643 | no |
80 | 2009 | 45315 | Dungeon Lords | 0.643 | no |
81 | 2013 | 146278 | Tash-Kalar: Arena of Legends | 0.641 | yes |
82 | 2010 | 77130 | Sid Meier's Civilization: The Board Game | 0.641 | yes |
83 | 2019 | 266507 | Clank!: Legacy – Acquisitions Incorporated | 0.640 | no |
84 | 2009 | 55670 | Macao | 0.639 | no |
85 | 2012 | 105551 | Archipelago | 0.639 | no |
86 | 2017 | 232918 | Fallout | 0.638 | no |
87 | 2013 | 136888 | Bruges | 0.638 | yes |
88 | 2014 | 152765 | Thunderstone Advance: Worlds Collide | 0.633 | yes |
89 | 2012 | 128780 | Pax Porfiriana | 0.633 | yes |
90 | 2017 | 197376 | Charterstone | 0.632 | yes |
91 | 2019 | 266192 | Wingspan | 0.632 | yes |
92 | 2000 | 478 | Citadels | 0.632 | yes |
93 | 2005 | 12493 | Twilight Imperium: Third Edition | 0.631 | yes |
94 | 2005 | 17133 | Railways of the World | 0.629 | no |
95 | 1999 | 875 | Roads & Boats | 0.625 | no |
96 | 2016 | 205398 | Citadels | 0.620 | no |
97 | 2019 | 256876 | Football Highlights 2052 | 0.619 | no |
98 | 2019 | 264220 | Tainted Grail: The Fall of Avalon | 0.616 | yes |
99 | 2014 | 150926 | Roll Through the Ages: The Iron Age | 0.616 | yes |
100 | 2012 | 40765 | Clash of Cultures | 0.616 | no |
This section contains a variety of visualizations and metrics for assessing the performance of the model(s) during resampling. If you’re not particularly interested in predictive modeling, skip down further to the predictions from the model.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can more formally assess how well each model did in resampling by looking at the area under the receiver operating characteristic curve. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
wflow_id | .metric | .estimator | .estimate |
GLM | roc_auc | binary | 0.88 |
Decision Tree | roc_auc | binary | 0.77 |
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
While we are probably more interested in the lift provided by the models to evaluate their efficacy, we can also explore the optimal cutpoint if we wanted to define a hard threshold for identifying games a user will own vs not own.
The threshold we select depends on how we much we care about false positives (games the model predicts that the user does not own) vs false negatives (games the user owns that the model does not predict). We can toggle threshold to
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think brewdinar is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2019 | 281946 | Aftermath | 0.965 | no |
2017 | 220308 | Gaia Project | 0.924 | no |
2002 | 4098 | Age of Steam | 0.886 | no |
2006 | 25613 | Through the Ages: A Story of Civilization | 0.847 | no |
2018 | 256643 | Neon Gods | 0.833 | no |
What games does the model think brewdinar is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
1988 | 943 | Ligretto | 0.004 | yes |
1985 | 2447 | World War II: European Theater of Operations | 0.005 | yes |
2005 | 20100 | Wits & Wagers | 0.007 | yes |
2011 | 56835 | Train of Thought | 0.007 | yes |
2013 | 146094 | Plunder | 0.007 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Terra Mystica | Glass Road | Splendor | 504 | Arkham Horror: The Card Game | Gloomhaven | Neon Gods | Tapestry |
2 | Robinson Crusoe: Adventures on the Cursed Island | City of Remnants | AquaSphere | Through the Ages: A New Story of Civilization | Scythe | Gaia Project | Gen7: A Crossroads Game | Aftermath |
3 | Thunderstone Advance: Towers of Ruin | Rococo | Fields of Arle | Mombasa | Star Wars: Rebellion | Twilight Imperium: Fourth Edition | Rising Sun | Era: Medieval Age |
4 | Ascension: Immortal Heroes | Thunderstone Advance: Numenera | Thunderstone Advance: Worlds Collide | Viticulture Essential Edition | Hit Z Road | Pandemic Legacy: Season 2 | Pax Emancipation | Last Bastion |
5 | Mice and Mystics | Lewis & Clark: The Expedition | Roll Through the Ages: The Iron Age | Baseball Highlights: 2045 | Terraforming Mars | This War of Mine: The Board Game | Everdell | The Lord of the Rings: Journeys in Middle-Earth |
6 | Descent: Journeys in the Dark (Second Edition) | Ascension: Rise of Vigil | Patchwork | Runebound (Third Edition) | Agricola (Revised Edition) | Spirit Island | Newton | Maracaibo |
7 | Android: Netrunner | Tash-Kalar: Arena of Legends | Five Tribes | Ascension: Dreamscape | Aeon's End | Too Many Bones | Underwater Cities | Bios: Origins (Second Edition) |
8 | Archipelago | Bruges | Akrotiri | Ascension: Dawn of Champions | A Feast for Odin | Fallout | Forum Trajanum | Tiny Towns |
9 | Pax Porfiriana | Amerigo | Orléans | T.I.M.E Stories | Jórvík | Charterstone | Pandemic: Fall of Rome | Clank!: Legacy – Acquisitions Incorporated |
10 | Clash of Cultures | Thunderstone: Starter Set | Star Wars: Imperial Assault | Watson & Holmes | Citadels | The Castles of Burgundy: The Dice Game | Star Realms: Frontiers | Wingspan |
11 | Love Letter | Ascension: Darkness Unleashed | Imperial Settlers | Marvel Dice Masters: Age of Ultron | Mansions of Madness: Second Edition | Smash Up: What Were We Thinking? | AuZtralia | Football Highlights 2052 |
12 | The Great Zimbabwe | Patchistory | Roll for the Galaxy | Forbidden Stars | Smash Up: Cease and Desist | Dragonfire | Carpe Diem | Tainted Grail: The Fall of Avalon |
13 | Space Cadets | Room 25 | Dead of Winter: A Crossroads Game | Pandemic Legacy: Season 1 | Ascension X: War of Shadows | Ascension: Gift of the Elements | Ascension: Deliverance | Sierra West |
14 | Keyflower | Caverna: The Cave Farmers | Three Kingdoms Redux | Mysterium | Dead of Winter: The Long Night | Valletta | Fine Sand | The Magnificent |
15 | Suburbia | Eldritch Horror | Black Fleet | Star Realms: Colony Wars | The Castles of Burgundy: The Card Game | In the Year of the Dragon: 10th Anniversary | KeyForge: Call of the Archons | Fire! |
16 | Rex: Final Days of an Empire | Bruxelles 1893 | Star Realms | The Gallerist | Exceed Fighting System | Calimala | Founders of Gloomhaven | Marvel Champions: The Card Game |
17 | Agricola: All Creatures Big and Small | BattleCON: Devastation of Indines | Istanbul | Clockwork Wars | Black Orchestra | The Godfather: Corleone's Empire | Blackout: Hong Kong | Hellenica: Story of Greece |
18 | Il Vecchio | Euphoria: Build a Better Dystopia | Greenland | Sylvion | The Oracle of Delphi | Breaking Bad: The Board Game | Heroes of Terrinoth | Unmatched: Battle of Legends, Volume One |
19 | Zombicide | City of Iron | La Granja | Neanderthal | Aventuria: Adventure Card Game | Altiplano | Thunderstone Quest | Unmatched Game System |
20 | Smash Up | Lost Legends | Ascension: Realms Unraveled | Blood Rage | SeaFall | Merlin | Renegade | Caylus 1303 |
21 | Wiz-War (Eighth Edition) | Pathfinder Adventure Card Game: Rise of the Runelords – Base Set | Onirim (Second Edition) | A Game of Thrones: The Card Game (Second Edition) | Star Wars: Destiny | Lisboa | Concordia Venus | It's a Wonderful World |
22 | Pixel Tactics | Impulse | Roll Through the Ages: The Iron Age with Mediterranean Expansion | Valley of the Kings: Afterlife | Pathfinder Adventure Card Game: Mummy's Mask – Base Set | Noria | Lords of Hellas | Abomination: The Heir of Frankenstein |
23 | Fantastiqa: The Rucksack Edition | Burning Suns | DungeonQuest Revised Edition | My Village | Millennium Blades | Path of Light and Shadow | Duelosaur Island | Unmatched: Robin Hood vs. Bigfoot |
24 | Exile Sun | Legacy: The Testament of Duke de Crecy | Nations: The Dice Game | Tiny Epic Galaxies | Star Trek: Frontiers | Massive Darkness | Coimbra | Comanauts |
25 | Escape: The Curse of the Temple | Concordia | Ultimate Werewolf | Xenon Profiteer | Czas Zaorać Socjalizm | Notre Dame: 10th Anniversary | Arkham Horror (Third Edition) | Black Rose Wars |
This is an interactive table for the model’s predictions for the training set (from resampling).
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
brewdinar | owned | validation | GLM | roc_auc | 0.852 |
brewdinar | owned | validation | Decision Tree | roc_auc | 0.752 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 184267 | On Mars | 0.886 | yes |
2020 | 281655 | High Frontier 4 All | 0.857 | yes |
2020 | 300322 | Hallertau | 0.746 | no |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.742 | no |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.736 | yes |
2020 | 318983 | Faiyum | 0.697 | no |
2020 | 256317 | Guild Master | 0.662 | no |
2020 | 316554 | Dune: Imperium | 0.655 | yes |
2020 | 302723 | Forgotten Waters | 0.647 | yes |
2020 | 292333 | Cowboys II: Cowboys & Indians Edition | 0.591 | no |
2020 | 246900 | Eclipse: Second Dawn for the Galaxy | 0.509 | no |
2020 | 233262 | Tidal Blades: Heroes of the Reef | 0.491 | no |
2020 | 302189 | Merlin: Big Box | 0.480 | no |
2020 | 308755 | Ascension: Eternal | 0.447 | no |
2020 | 304420 | Bonfire | 0.439 | yes |
2020 | 248125 | Monumental | 0.432 | no |
2020 | 300327 | The Castles of Tuscany | 0.421 | no |
2020 | 315060 | Unmatched: Buffy the Vampire Slayer | 0.414 | no |
2020 | 271524 | TIME Stories Revolution: A Midsummer Night | 0.406 | no |
2020 | 312804 | Pendulum | 0.402 | yes |
2020 | 294484 | Unmatched: Cobble & Fog | 0.384 | yes |
2020 | 284777 | Unmatched: Jurassic Park – InGen vs Raptors | 0.359 | no |
2020 | 287742 | TIME Stories Revolution: The Hadal Project | 0.356 | no |
2020 | 316377 | 7 Wonders (Second Edition) | 0.349 | no |
2020 | 256940 | Krosmaster: Blast | 0.344 | no |
2020 | 301919 | Pandemic: Hot Zone – North America | 0.337 | yes |
2020 | 325635 | Unmatched: Little Red Riding Hood vs. Beowulf | 0.331 | yes |
2020 | 280794 | Etherfields | 0.328 | no |
2020 | 298572 | Cosmic Encounter Duel | 0.319 | no |
2020 | 302465 | Obsidia | 0.309 | no |
2020 | 302425 | Unlock!: Mythic Adventures | 0.308 | no |
2020 | 284378 | Kanban EV | 0.302 | no |
2020 | 306735 | Under Falling Skies | 0.301 | no |
2020 | 262274 | D6: Dungeons, Dudes, Dames, Danger, Dice and Dragons! | 0.292 | no |
2020 | 299317 | Aeon's End: Outcasts | 0.290 | yes |
2020 | 282922 | Windward | 0.274 | no |
2020 | 312484 | Lost Ruins of Arnak | 0.273 | yes |
2020 | 312267 | Star Wars: Unlock! | 0.262 | no |
2020 | 283155 | Calico | 0.253 | no |
2020 | 259061 | Skytear | 0.251 | no |
2020 | 280472 | WWE Dice Masters: Campaign Box | 0.250 | no |
2020 | 271055 | Dwellings of Eldervale | 0.244 | no |
2020 | 309630 | Small World of Warcraft | 0.242 | no |
2020 | 296345 | Sherlock Holmes Consulting Detective: The Baker Street Irregulars | 0.239 | yes |
2020 | 286021 | Free Market: NYC | 0.236 | no |
2020 | 316412 | The LOOP | 0.235 | no |
2020 | 302310 | Nanaki | 0.228 | no |
2020 | 316750 | The Princess Bride Adventure Book Game | 0.228 | no |
2020 | 257145 | Teenage Mutant Ninja Turtles Adventures: City Fall | 0.222 | no |
2020 | 301716 | Glasgow | 0.221 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 100 upcoming games, highlighting in blue ones the user already owns.
Published | ID | Name | Pr(Owned) | Owned |
2022 | 331106 | The Witcher: Old World | 0.892 | no |
2022 | 341945 | La Granja: Deluxe Master Set | 0.771 | no |
2021 | 343905 | Boonlake | 0.706 | no |
2022 | 295770 | Frosthaven | 0.674 | no |
2022 | 314580 | Hamburg | 0.650 | no |
2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.635 | no |
2022 | 251661 | Oathsworn: Into the Deepwood | 0.601 | no |
2021 | 329465 | Red Rising | 0.577 | no |
2021 | 260524 | Beyond Humanity: Colonies | 0.565 | no |
2022 | 310873 | Carnegie | 0.518 | no |
2021 | 340466 | Unfathomable | 0.493 | no |
2021 | 283387 | Rocketmen | 0.471 | no |
2022 | 273814 | Deliverance | 0.457 | no |
2023 | 347909 | Rogue Angels: Legacy of the Burning Suns | 0.454 | no |
2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.445 | no |
2022 | 322524 | Bardsung | 0.442 | no |
2021 | 249277 | Brazil: Imperial | 0.433 | no |
2021 | 256680 | Return to Dark Tower | 0.424 | no |
2022 | 349793 | Age of Rome | 0.422 | no |
2022 | 325810 | Ascension: 10 Year Anniversary Edition | 0.402 | no |
2022 | 356033 | Libertalia: Winds of Galecrest | 0.402 | no |
2021 | 344277 | Corrosion | 0.379 | no |
2022 | 317511 | Tindaya | 0.371 | no |
2021 | 308119 | Pax Renaissance: 2nd Edition | 0.369 | no |
2021 | 342848 | World of Warcraft: Wrath of the Lich King | 0.364 | no |
2021 | 285967 | Ankh: Gods of Egypt | 0.362 | yes |
2022 | 305096 | Endless Winter: Paleoamericans | 0.361 | no |
2021 | 340237 | Wonder Book | 0.355 | no |
2021 | 273330 | Bloodborne: The Board Game | 0.354 | yes |
2022 | 335764 | Unmatched: Battle of Legends, Volume Two | 0.351 | no |
2021 | 280984 | Ruins: Death Binder | 0.340 | no |
2021 | 342942 | Ark Nova | 0.327 | no |
2021 | 329670 | Pandemic: Hot Zone – Europe | 0.321 | no |
2021 | 322708 | Descent: Legends of the Dark | 0.317 | no |
2021 | 306202 | Philosophia: Floating World | 0.313 | no |
2021 | 298069 | Cubitos | 0.311 | no |
2021 | 341169 | Great Western Trail (Second Edition) | 0.302 | no |
2021 | 291859 | Riftforce | 0.301 | no |
2021 | 342073 | Berried Treasure | 0.300 | no |
2021 | 295785 | Euthia: Torment of Resurrection | 0.298 | no |
2021 | 287608 | Epic Card Game: Duels | 0.297 | no |
2021 | 332420 | Nexum: Galaxy | 0.297 | no |
2021 | 331212 | Aeon's End: Legacy of Gravehold | 0.296 | yes |
2022 | 330950 | Age of Galaxy | 0.287 | no |
2021 | 292899 | Tribune | 0.287 | no |
2021 | 338980 | Eastern Empires | 0.277 | no |
2021 | 304985 | Dark Ages: Holy Roman Empire | 0.270 | no |
2021 | 295535 | Dark Ages: Heritage of Charlemagne | 0.270 | no |
2023 | 337627 | Voidfall | 0.266 | no |
2021 | 305682 | Rolling Realms | 0.259 | no |
2022 | 281526 | The Isofarian Guard | 0.257 | no |
2022 | 266018 | Trinidad | 0.254 | no |
2021 | 318184 | Imperium: Classics | 0.252 | yes |
2022 | 317321 | Darkest Dungeon: The Board Game | 0.249 | no |
2021 | 322195 | Kokopelli | 0.246 | no |
2021 | 337397 | Warhammer Underworlds: Two-Player Starter Set | 0.245 | no |
2022 | 326945 | Castles of Mad King Ludwig: Collector's Edition | 0.245 | no |
2022 | 305462 | The Age of Atlantis | 0.242 | no |
2021 | 332800 | Summoner Wars (Second Edition) | 0.242 | no |
2021 | 290236 | Canvas | 0.241 | no |
2022 | 319807 | Shogun no Katana | 0.235 | no |
2021 | 277700 | Merchants Cove | 0.235 | no |
2021 | 310641 | Ostium | 0.228 | no |
2021 | 266448 | Imperium: The Contention | 0.226 | no |
2022 | 318450 | Bios: Mesofauna | 0.224 | no |
2021 | 299566 | Batman: The Animated Series Adventures – Shadow of the Bat | 0.222 | no |
2022 | 276182 | Dead Reckoning | 0.221 | no |
2023 | 274471 | Malhya: Lands of Legends | 0.218 | no |
2022 | 282775 | The Warp | 0.217 | no |
2022 | 342444 | Black Rose Wars: Rebirth | 0.215 | no |
2022 | 280726 | Legacies | 0.214 | no |
2021 | 333348 | Dirge: The Rust Wars | 0.211 | no |
2021 | 344768 | Mobile Markets: A Smartphone Inc. Game | 0.209 | no |
2021 | 333539 | The Siege of Runedar | 0.207 | no |
2021 | 339906 | The Hunger | 0.205 | no |
2022 | 311988 | Frostpunk: The Board Game | 0.205 | no |
2021 | 331549 | MiniQuest Adventures | 0.201 | no |
2022 | 283137 | Human Punishment: The Beginning | 0.200 | no |
2021 | 324242 | Sheepy Time | 0.192 | no |
2021 | 336195 | League of Dungeoneers | 0.192 | no |
2021 | 298383 | Golem | 0.192 | no |
2021 | 281248 | Cape May | 0.188 | no |
2021 | 301366 | Caves of Rwenzori | 0.188 | no |
2021 | 298102 | Roll Camera!: The Filmmaking Board Game | 0.187 | no |
2021 | 211364 | Seize the Bean | 0.186 | no |
2021 | 262201 | Sword & Sorcery: Ancient Chronicles | 0.185 | no |
2021 | 308566 | Nova Lux | 0.183 | no |
2021 | 289550 | Lions of Lydia | 0.181 | no |
2022 | 299106 | Fractal: Beyond the Void | 0.181 | no |
2021 | 224793 | Gascony's Legacy | 0.179 | no |
2021 | 328871 | Terraforming Mars: Ares Expedition | 0.179 | yes |
2021 | 309319 | Apogee | 0.179 | no |
2021 | 300664 | Arkwright: The Card Game | 0.177 | no |
2022 | 230967 | Verrix | 0.175 | no |
2021 | 318709 | For Sale Autorama | 0.175 | no |
2022 | 252315 | The Everrain | 0.173 | no |
2021 | 330608 | Cryo | 0.171 | no |
2022 | 311823 | Nova Aetas Renaissance | 0.170 | no |
2021 | 339789 | Welcome to the Moon | 0.170 | no |
2021 | 340909 | Gloomholdin' | 0.170 | no |